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The Workout on Wheels internet intervention (WOWii) developed by Froehlich-Grobe et al [16] used a Polar A300 fitness tracker to manually log workout durations from 143 participants during workout sessions delivered through the WOWii web portal. The workout minutes were used for workout progress monitoring, which was displayed on the WOWii site to help participants track their progress toward established goals.
JMIR Rehabil Assist Technol 2025;12:e70063
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Wicks gained considerable public attention during the COVID-19 pandemic through his web-based workout sessions designed to promote physical exercise during lockdowns.
During the first quarter of 2020, most countries globally were affected by the onset of the COVID-19 pandemic [8]. A feature of lockdowns across the world was the compulsory closure of schools.
J Med Internet Res 2024;26:e49921
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Four apps suggested prefabricated workout plans that were customizable in 3 of these apps. One app provided motion detection of the exercising person using the camera of the smartphone. The characteristic elements and different combinations used for each app are listed in Table 1.
JMIR Mhealth Uhealth 2023;11:e47502
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This study aimed to use deep neural networks to design and develop a personal workout assistant capable of providing feedback on squat postures using only mobile devices such as smartphones. In the first part of this study, a squat video data set was created and a deep learning model using a combination of pose estimation and video classification was trained to analyze workout postures.
Interact J Med Res 2023;12:e37604
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